{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From <ipython-input-1-2966a76eec9a>:9: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use alternatives such as official/mnist/dataset.py from tensorflow/models.\n",
      "WARNING:tensorflow:From D:\\Programs\\Anaconda3\\lib\\site-packages\\tensorflow\\contrib\\learn\\python\\learn\\datasets\\mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please write your own downloading logic.\n",
      "WARNING:tensorflow:From D:\\Programs\\Anaconda3\\lib\\site-packages\\tensorflow\\contrib\\learn\\python\\learn\\datasets\\mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use tf.data to implement this functionality.\n",
      "Extracting /tmp/data/train-images-idx3-ubyte.gz\n",
      "WARNING:tensorflow:From D:\\Programs\\Anaconda3\\lib\\site-packages\\tensorflow\\contrib\\learn\\python\\learn\\datasets\\mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use tf.data to implement this functionality.\n",
      "Extracting /tmp/data/train-labels-idx1-ubyte.gz\n",
      "WARNING:tensorflow:From D:\\Programs\\Anaconda3\\lib\\site-packages\\tensorflow\\contrib\\learn\\python\\learn\\datasets\\mnist.py:110: dense_to_one_hot (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use tf.one_hot on tensors.\n",
      "Extracting /tmp/data/t10k-images-idx3-ubyte.gz\n",
      "Extracting /tmp/data/t10k-labels-idx1-ubyte.gz\n",
      "WARNING:tensorflow:From D:\\Programs\\Anaconda3\\lib\\site-packages\\tensorflow\\contrib\\learn\\python\\learn\\datasets\\mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use alternatives such as official/mnist/dataset.py from tensorflow/models.\n"
     ]
    }
   ],
   "source": [
    "from __future__ import division, print_function, absolute_import\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "\n",
    "# Import MNIST data\n",
    "from tensorflow.examples.tutorials.mnist import input_data\n",
    "mnist = input_data.read_data_sets(\"/tmp/data/\", one_hot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_x, batch_y = mnist.train.next_batch(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 784)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "batch_x.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_x1 = np.reshape(batch_x, [-1, 28, 28])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 28, 28)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "batch_x1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 100 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_image(images):\n",
    "    fig, ax = plt.subplots(nrows=10, ncols=10, figsize=(10, 10))\n",
    "    for r in range(10):\n",
    "        for c in range(10):\n",
    "            ax[r, c].xaxis.set_visible(False)\n",
    "            ax[r, c].yaxis.set_visible(False)\n",
    "            ax[r, c].imshow(images[10 * r + c], cmap = plt.cm.gray)\n",
    "plot_image(batch_x1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "first_image = mnist.test.images[0]\n",
    "first_image = np.array(first_image, dtype='float')\n",
    "pixels = first_image.reshape((28, 28))\n",
    "plt.imshow(pixels, cmap='gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 10)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "batch_y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 0., 0., 0., 0., 0., 0., 1., 0., 0.])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "batch_y[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
